Package: PRC 2.0.4

PRC: Principal Response Curves (PRC) For Displaying Multivariate Main Effects And Interactions

PRC is a small \code{vegan}- and \code{LMMsolver}-based package to create and display Principal Response Curves (PRC) and smooth Principal Response Curves (PRC). PRC is a special case of Redundancy Analysis (rda) for multivariate responses in designed experiments and repeated measurement designs. PRC expresses ordination scores as deviation from a reference, usually to visualize multivariate A-dependent effects (e.g time-dependent effects) of a treatment B in (un)balanced factorial experiments. The main user functions are \code{\link{doPRC}}, \code{\link{plotPRC}}, \code{\link{plotPRC2d}} and \code{\link{smoothPRC}}. The easiest example is the code demo \code{PRC_pyrifos}. This version includes smoothPRC (\code{\link{smoothPRC}} using \code{\link{set_smoothPRC_model}}).

Authors:Cajo J.F ter Braak [aut, cre]